OpenClaw AI PCs

OpenClaw AI Mini PCs built for always-on agents and automation. Configurable RAM/SSD for fast local workflows. AU support.

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ASUS ExpertCenter PN54 ASUS ExpertCenter PN54
ASUS ExpertCenter PN54
GPU AMD Radeon™ 840M Graphics
CPU AMD Ryzen AI 5 340
RAM 8GB DDR5 4800Mhz
$947.00 USD
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Strata AI Core [Openclaw] Strata AI Core [Openclaw]
Strata AI Core [Openclaw]
GPU AMD Radeon 780M
CPU AMD Ryzen 7 8700G AI 8 Cores 16 Threads
RAM 32GB (2x16GB) 6000MHz CL30 DDR5
Storage Lexar NQ790 M.2 2280 PCIe 4.0
$1,384.00 USD
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OpenClaw Mini vs Mac mini

Compare performance, upgradeability, and value

Radium Compact NUC

Configurable, upgradeable, built for performance. Australian support included.

Starting from $1,299

Apple Mac mini

Compact Apple Silicon desktop. Limited upgrade options after purchase.

Starting from $999
CPU
Intel or AMD configurable
Apple M2 or M2 Pro
RAM
Up to 64GB DDR4, user-upgradeable
8GB–32GB unified memory, soldered
Storage
Up to 2TB NVMe SSD, user-upgradeable
256GB–2TB SSD, soldered
Ports
4× USB-A, 2× USB-C, HDMI, Ethernet, audio
2× Thunderbolt 4, 2× USB-A, HDMI, Ethernet
Upgradeability
RAM and storage user-upgradeable
No user-upgradeable components
Warranty
3-year Australian warranty
1-year limited warranty
Support
Local Australian support team
Apple Support (online or in-store)
Lead time
Ships within 5–7 business days
Varies by configuration
Ideal for
Power users who value flexibility and upgrades
macOS users seeking compact Apple ecosystem

OpenClaw FAQ

OpenClaw Basics

An OpenClaw PC is a Mini PC configured for always-on AI workflows, agents, automation, coding tools, and productivity stacks, without needing a full tower. The focus is on fast storage + enough RAM so the system stays responsive under real multitasking.

Yes. If you want the “small, fast, always-on” idea but with configurable RAM/SSD and Windows or Linux flexibility, this is a practical alternative, especially when availability or lead times are an issue.

Run OpenClaw-style agents 24/7, build automation pipelines, code with Claude Code/ChatGPT, run dashboards, or host lightweight services for a home lab or small office.

Specs & Upgrades

16GB is entry-level. 32GB is the “no regrets” pick for OpenClaw + ChatGPT/Claude + IDE workflows. 64GB is best if you run containers/VMs, bigger datasets, or lots of concurrent tools.

Yes! RAM and SSD are the cleanest upgrades. If you want to future-proof, spec RAM higher now: AI workflows tend to get heavier over time.

Performance & AI Workflows

Not always. Many OpenClaw workflows are CPU/RAM/storage-bound (tabs, tools, IDEs, containers). A GPU matters mainly for heavier local inference or specialised workloads.

Windows is best for Windows-first apps and office stacks. Linux is often cleaner for dev-heavy workflows (Docker, services, SSH, automation). Choose based on your tooling.

Deployment & Reliability

Yes. these are suited to always-on workloads like AI agents, automations, kiosks, and lab tasks, assuming sensible airflow and stable power.

For always-on boxes: Ethernet first for stability. Then choose based on your setup, USB4/fast external storage (model dependent), and the display outputs you need.